Gerontology at IgMin Research | Medicine Group
We focus on fostering research partnerships that lead to faster, collective scientific advancements.
About
Gerontology is the scientific study of aging, focusing on the physical, psychological, and social changes that occur as individuals grow older. This field encompasses research into the biological processes of aging, age-related diseases, and the challenges associated with an aging population. Researchers in Gerontology seek to improve the quality of life for older adults by exploring strategies for healthy aging, disease prevention, and comprehensive care models that address the unique needs of the elderly.
The study of Gerontology integrates insights from biology, medicine, sociology, and psychology to address the multifaceted aspects of aging. By investigating areas such as cognitive health, mobility, and social support systems, this field aims to promote well-being and independence among older adults. Advancements in Gerontology are essential for shaping policies, healthcare practices, and interventions that enhance longevity and improve the overall health outcomes of aging populations.
Why publish with us?
Global Visibility – Indexed in major databases
Fast Peer Review – Decision within 14–21 days
Open Access – Maximize readership and citation
Multidisciplinary Scope – Biology, Medicine and Engineering
Editorial Board Excellence – Global experts involved
University Library Indexing – Via OCLC
Permanent Archiving – CrossRef DOI
APC – Affordable APCs with discounts
Citation – High Citation Potential
Which articles are now trending?
Research Articles
- Prevalence of Non-specific Low Back Pain Among Chinese Healthcare Workers (Surgeons and Surgical Nurses): A Multi-Center Survey Study
- Analytical Expressions of the Markov Chain of K-Ras4B Protein within the Catalytic Environment and a New Markov-State Model
- Utilising Phytoremediation in Green Technologies: Exploring Natural Means of Environmental Clean-up
- The Influence of Dynamical Downscaling and Boundary Layer Selection on Egypt’s Potential Evapotranspiration using a Calibrated Version of the Hargreaves-samani Equation: RegCM4 Approach
- Enhancing Missing Values Imputation through Transformer-Based Predictive Modeling
- The Influence of Low Pesticide Doses on Fusarium Molds
